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SolsticeAI
SolsticeAI
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TheSolsticeAI
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Real Intelligence, Built for the real world.
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Meet Supra2.5-Ultra-Preview-001. 230M parameters, ~40.4B training tokens. SupraLabs has released the first preview of its Supra2.5-Ultra family: a compact, Llama-style base model for text completion and small-model experimentation. What's inside? • 230M parameters • 32 transformer layers • 2,048-token context window • Grouped Query Attention: 12 attention heads, 4 KV heads • 49,152-token vocabulary • SwiGLU activation, RoPE and tied embeddings • BF16 weights and Hugging Face Transformers support • Apache 2.0 license Training The model was trained on approximately 40.4B tokens from FineWeb-Edu, DCLM-Baseline and FineMath using a single A100 SXM. Reported zero-shot results • HellaSwag: 37.18% normalized accuracy • PIQA: 65.78% accuracy • ARC-Easy: 57.11% accuracy • ARC-Challenge: 26.28% normalized accuracy Want to experiment? Code on REPO. Model, weights and usage example: SupraLabs/Supra2.5-Ultra-Preview-001
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nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2:
Q2/Q3 what doas that mean?
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Solstice-AI/Protium-1.0
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